Cargando…
A method for identifying genetic heterogeneity within phenotypically-defined disease subgroups
Many common diseases show wide phenotypic variation. We present a statistical method for determining whether phenotypically defined subgroups of disease cases represent different genetic architectures, in which disease-associated variants have different effect sizes in the two subgroups. Our method...
Autores principales: | Liley, James, Todd, John A, Wallace, Chris |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5357574/ https://www.ncbi.nlm.nih.gov/pubmed/28024155 http://dx.doi.org/10.1038/ng.3751 |
Ejemplares similares
-
Identifying subgroup markers in heterogeneous populations
por: de Ronde, Jorma J., et al.
Publicado: (2013) -
A Pleiotropy-Informed Bayesian False Discovery Rate Adapted to a Shared Control Design Finds New Disease Associations From GWAS Summary Statistics
por: Liley, James, et al.
Publicado: (2015) -
Genetic data and cognitively defined late-onset Alzheimer’s disease subgroups
por: Mukherjee, Shubhabrata, et al.
Publicado: (2018) -
Identifying and Assessing Interesting Subgroups in a Heterogeneous Population
por: Lee, Woojoo, et al.
Publicado: (2015) -
Polygenic Heterogeneity Across Obsessive-Compulsive Disorder Subgroups Defined by a Comorbid Diagnosis
por: Strom, Nora I., et al.
Publicado: (2021)